Member of Technical Staff — Agent Post-Training

Introducing Moonlake, AI for creating world simulations.

We are hiring a Member of Technical Staff to lead reinforcement learning infrastructure and model post-training.

You will work closely with Qi and the research team to improve large vision-language and code-generating agents through fine-tuning, reinforcement learning, trajectory data, and scalable evaluation.

Moonlake already has deep expertise in 3D and world-building. This role adds the model-training experience needed to systematically improve agent performance and prepare the company for larger-scale RL across both digital and physical environments.

We are looking for a full-stack researcher and engineer who understands the complete training system and can make strong judgments about when training is necessary, which methods are likely to work, and what not to pursue.